or-unet | PyTorch implementation of OR-UNet for surgical tool
kandi X-RAY | or-unet Summary
kandi X-RAY | or-unet Summary
or-unet is a Python library. or-unet has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
A PyTorch implementation of OR-UNet for surgical tool segmentation.
A PyTorch implementation of OR-UNet for surgical tool segmentation.
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Quality
Security
License
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Support
or-unet has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
or-unet has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of or-unet is current.
Quality
or-unet has no bugs reported.
Security
or-unet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
or-unet does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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or-unet releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of or-unet
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of or-unet
or-unet Key Features
No Key Features are available at this moment for or-unet.
or-unet Examples and Code Snippets
No Code Snippets are available at this moment for or-unet.
Community Discussions
No Community Discussions are available at this moment for or-unet.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install or-unet
You can download it from GitHub.
You can use or-unet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use or-unet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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